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Zorluk: OrtaCausal Flaws and Confounding Variables

Passage: A telecommunications firm observed that remote software engineers who voluntarily completed an asynchronous time-management training module logged 30% fewer project delays over six months than remote software engineers who did not complete the module. The human resources department concluded that the time-management training module directly caused the reduction in project delays.

Statement: If software engineers who possessed pre-existing high levels of self-motivation and organizational skills were significantly more likely to voluntarily enroll in the module, this factor functions as a confounding variable that undermines the human resources department's causal conclusion.

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Cevap

The statement is True. Pre-existing baseline traits (such as self-motivation and organizational skills) among voluntary enrollees act as a confounding third variable, providing an alternative explanation for the observed reduction in project delays.
The statement accurately identifies a classic confounding variable (self-selection bias). In causal reasoning, if the group choosing to undergo an intervention already possesses traits that foster the desired outcome, one cannot attribute the outcome solely to the intervention.

Adım Adım Çözüm

1
Identify the author's causal conclusion and supporting evidence.
Evidence: Engineers who voluntarily completed training had 30% fewer delays. Conclusion: The training module caused the reduction in delays.
Understanding the premise-to-conclusion structure is essential for isolating the assumed causal link.
2
Evaluate the impact of self-selection and alternative explanations.
Voluntary enrollment means engineers with higher inherent motivation chose to take the module.
A confounding variable (third variable) occurs when a distinct factor correlates with both participation and the positive outcome.
3
Determine whether this factor constitutes a confounding variable that undermines the conclusion.
Because inherent motivation alone could explain why those engineers logged fewer delays, the claim that the training caused the result is vulnerable.
An unaddressed third variable invalidates a strict claim of cause and effect.

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Causal Flaws and Confounding Variables
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